[{"left":"Are people who have been incarcerated either as juveniles or young adults more likely to develop alcoholism within four years of being incarcerated than people who have never been incarcerated\n\n","right":"[http://assignment.store/products.php?product=Are-people-who-have-been-incarcerated-either-as-juveniles-or-young-adults-more-likely-to-develop-alcoholism-within-four-years-of-being-incarcerated-than-people-who-have-never-been-incarcerated](http://assignment.store/products.php?product=Are-people-who-have-been-incarcerated-either-as-juveniles-or-young-adults-more-likely-to-develop-alcoholism-within-four-years-of-being-incarcerated-than-people-who-have-never-been-incarcerated)"},{"left":"Are people who have been incarcerated either as juveniles or young adults more likely to develop alcoholism within four years of being incarcerated than people who have never been incarcerated\n\n","right":"6. Are people who have been incarcerated either as juveniles or young adults more likely to develop alcoholism within four years of being incarcerated than people who have never been incarcerated, after holding the following variables constant: pre-incarceration rates of alcoholism, age, gender, whether the participant had a parent with alcoholism?\n\nThere is another data file on the CCLE course website named FINAL\\_Q6Q7 containing data from the same longitudinal study of adolescents who were contacted to complete follow-up questionnaires measuring a number of variables every four years until age 30. You will use this file to conduct the statistical test that you choose. The following variables are in the file:\n\nPOSTINC\\_ALC – whether the person developed alcoholism within four years following incarceration (0=no alcoholism 1=alcoholism)\n\nEVERINCARCERATED – whether the person was incarcerated (0=never incarcerated 1=incarcerated)\n\nPREINC\\_ALC – whether the person developed alcoholism prior to incarceration (0=no alcoholism 1=alcoholism)\n\nAGEATINTERVIEW – age in years\n\nGENDER - gender of the respondent (0=male 1=female )\n\nPARENTALALCABUSE – whether the person had a parent diagnosed with alcoholism (0=no 1=yes)\n\na) identify the EV\n\nb) identify the RV\n\nc) identify the CV(s)\n\nd) state a hypothesis about the direction of the expected association between the EV and the RV that you identified in a and b above. You are not being asked to state null and alternative hypotheses here. Just state the hypothesis that you would as the researcher conducting this study\n\ne) identify the statistical test that will appropriately test whether or not the EV and RV are associated in the population after controlling for the CV(s), and explain why you chose this particular test\n\nf) state the null and alternative hypotheses for the expected association between the EV and RV you identified in a and b above, after holding all CVs constant that you identified in part c above (either words or symbols is fine—no need to state the hypotheses both ways).\n\ng) conduct the statistical test you chose in part e above in STATA using the data provided on the CCLE course website. Paste the output below\n\nh) write a short summary of the results in which you state your decision to reject or retain the null hypothesis you stated in f above. In your summary, identify and interpret the values of the individual adjusted EV/RV association, the adjusted CV/RV associations, their test statistics and p-values\n\ni) what is your main conclusion about the presence or lack of presence of an EV/RV association in the population after holding the CV(s) constant? In your response, you should state your answer to the research question above.\n\n7. You just ran and interpreted a main effects model, which assumes that your conclusion about whether incarceration and alcoholism are associated applies equally to everyone in your sample—such as men and women. It is possible, however, that the strength of the incarceration/alcoholism association is different for men and women. In other words, the magnitudes of the increases in the likelihood of developing alcoholism linked to incarceration might be different for men and women. Whether or not the magnitude of the increased risk of alcoholism linked to incarceration differs between men and women is a question of whether incarceration and gender interact to affect the likelihood of developing alcoholism. You will test this by doing the following:\n\na) state the null and alternative hypotheses for the test of the interaction in either words or symbols (no need to do it both ways). \n\nb) create an interaction term between incarceration and gender by multiplying these two variables together. Name this variable INCARBYGENDER. Paste your code for creating this variable below:\n\nc) add the interaction term to the analysis you ran in question 6g and rerun the analysis. Paste your output below:\n\nd) write a short summary in which you interpret the value of the coefficient for the interaction term and its test of significance. Do not worry about interpreting the main effect terms in the interaction model. Be sure to draw a conclusion about whether the increases in the risk of developing alcoholism linked to incarceration are comparable for young men and young women, or whether they are different. You will also need to report and interpret a measure of association between incarceration and likelihood of developing alcoholism for men, and a measure of association between incarceration and the likelihood of developing alcoholism for women."},{"left":"","right":""},{"left":"","right":""}]

Are people who have been incarcerated either as juveniles or young adults more likely to develop alcoholism within four years of being incarcerated than people who have never been incarcerated